| Longitudinal changes in cortical thickness associated with normal aging M Thambisetty, J Wan, A Carass, Y An, JL Prince, SM Resnick NeuroImage 52 (4), 1215-1223, 2010 | 416 | 2010 |
| Longitudinal multiple sclerosis lesion segmentation: resource & challenge A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ... NeuroImage 148 (C), 77-102, 2017 | 366 | 2017 |
| Retinal layer segmentation of macular OCT images using boundary classification A Lang, A Carass, M Hauser, ES Sotirchos, PA Calabresi, HS Ying, ... Biomedical optics express 4 (7), 1133-1152, 2013 | 358 | 2013 |
| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 344 | 2018 |
| MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, W Bouvy, J de Bresser, ... Computational Intelligence and Neuroscience, 2015 | 290 | 2015 |
| Cross-modality image synthesis from unpaired data using cyclegan: Effects of gradient consistency loss and training data size Y Hiasa, Y Otake, M Takao, T Matsuoka, K Takashima, A Carass, ... Simulation and Synthesis in Medical Imaging: Third International Workshop …, 2018 | 271 | 2018 |
| DeepHarmony: A deep learning approach to contrast harmonization across scanner changes BE Dewey, C Zhao, JC Reinhold, A Carass, KC Fitzgerald, ES Sotirchos, ... Magnetic resonance imaging 64, 160-170, 2019 | 237 | 2019 |
| Random Forest Regression for Magnetic Resonance Image Synthesis A Jog, A Carass, S Roy, DL Pham, JL Prince Medical Image Analysis 35, 475-488, 2017 | 218 | 2017 |
| Evaluating the impact of intensity normalization on MR image synthesis JC Reinhold, BE Dewey, A Carass, JL Prince Proceedings of SPIE--the International Society for Optical Engineering 10949 …, 2019 | 217 | 2019 |
| Unpaired brain MR-to-CT synthesis using a structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, Z Xu, J Prince Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 205 | 2018 |
| Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis A Carass, S Roy, A Gherman, JC Reinhold, A Jesson, T Arbel, O Maier, ... Scientific reports 10 (1), 8242, 2020 | 193 | 2020 |
| Unsupervised MR-to-CT synthesis using structure-constrained CycleGAN H Yang, J Sun, A Carass, C Zhao, J Lee, JL Prince, Z Xu IEEE transactions on medical imaging 39 (12), 4249-4261, 2020 | 169 | 2020 |
| Magnetic Resonance Image Example Based Contrast Synthesis S Roy, A Carass, J Prince IEEE Transactions on Medical Imaging 32 (12), 2348-2363, 2013 | 160 | 2013 |
| The Java Image Science Toolkit (JIST) for rapid prototyping and publishing of neuroimaging software BC Lucas, JA Bogovic, A Carass, PL Bazin, JL Prince, DL Pham, ... Neuroinformatics 8, 5-17, 2010 | 149 | 2010 |
| Simple paradigm for extra-cerebral tissue removal: Algorithm and analysis A Carass, J Cuzzocreo, MB Wheeler, PL Bazin, SM Resnick, JL Prince NeuroImage 56 (4), 1982-1992, 2011 | 143 | 2011 |
| Consistent cortical reconstruction and multi-atlas brain segmentation Y Huo, AJ Plassard, A Carass, SM Resnick, DL Pham, JL Prince, ... NeuroImage 138, 197-210, 2016 | 132 | 2016 |
| Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images A Carass, JL Cuzzocreo, S Han, CR Hernandez-Castillo, PE Rasser, ... NeuroImage 183, 150-172, 2018 | 106 | 2018 |
| Applications of a deep learning method for anti-aliasing and super-resolution in MRI C Zhao, M Shao, A Carass, H Li, BE Dewey, LM Ellingsen, J Woo, ... Magnetic resonance imaging 64, 132-141, 2019 | 105 | 2019 |
| Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory L Zuo, BE Dewey, Y Liu, Y He, SD Newsome, EM Mowry, SM Resnick, ... NeuroImage 243, 118569, 2021 | 96 | 2021 |
| Autoencoder based self-supervised test-time adaptation for medical image analysis Y He, A Carass, L Zuo, BE Dewey, JL Prince Medical image analysis 72, 102136, 2021 | 96 | 2021 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityZweryfikowany adres z jhu.edu